Hello! I need some Clay expert help. Here's what I'm looking to do:
input: list of companies
output: list of people (1) in specific functions and (2) located in the US who have left those companies in the past 2 years
Is there a direct way to do thisāi.e., without having to burn credits on pulling both employees that have and have not left?
Yes, there's a way to do this in Clay using the Find People feature. Here's how: 1. Use the Find People tool with your list of companies. 2. Toggle on "Past experiences" to include people who have left these companies. 3. Set filters for: ⢠Location: United States ⢠Time frame: Last 2 years ⢠Specific functions you're interested in 4. Use the "Exclude people" option to filter out current employees, focusing only on those who have left. This approach allows you to target former employees without pulling data on current ones, helping to conserve credits. If you need further assistance, please request human support by clicking on "Talk to a person" in this chat.
if you create a people table without the past experiences toggle on and then create another table with the past experiences toggle on while excluding the people from the first table - you ll have the people who previously used to work at the target companies then you can run the enrichment or an ai column if they have left in the past two years or longer
Yes, in Clay you can use the People Search block with filters for job change history. Set the company as āPast Company,ā function as the target department, and location as āUnited States.ā Then filter by āLeft company within last 2 years.ā This way, you only use credits on relevant profiles.
Hey, Great use case and suggestions (thanks guys! :) . To get people whoāve left a company in the past 2 years, hereās how you can do it efficiently: 1. Use the āFind Peopleā enrichment and turn on the āInclude Past Experienceā option. This will pull people who used to work at the listed companies. 2. After import, filter out anyone still at the company. 3. Use āEnrich Person from Profileā to get detailed job historyāitās 1 credit per row. 4. Then apply a formula to calculate how long ago they left, and filter for those who left within 2 years. Let me know if you have more questions